Detecting Guilty Agent using Data Watcher Technique
Data leakage, put simply, is the unauthorized transmission of private or sensitive data or information from within an organization to a third party, i.e., an unauthorized recipient. In organizations, detecting data leaker is facing many difficulties to and who cause for the data leakage. In previous approaches there are many techniques to find the leaker using fake objects and how much data leaked. In this paper, the authors represent s-random algorithm, probability function, fake record generation and an algorithm for data distribution. They also implemented a data watcher to detect the guilty agents and calculating the probability.